Artificial Intelligence Researcher in Precision Oncology
Are you a dynamic and ambitious scientist ready to make a mark in AI-driven cancer research?
The Institute of Molecular Oncology invites applications for the position of Junior Group Leader.
You will spearhead groundbreaking research, unraveling the intricacies of cancer evolution, diagnosis, and treatment response using Artificial Intelligence models. You will dive into diverse deep learning models to process complex datasets, including omics, phenotypic, and imaging data, to reconstruct cancer evolution and discover new cancer biomarkers.
You will develop AI-driven tools to analyze and interpret medical images, linking them with clinical data to identify the most effective strategies to improve diagnostic accuracy and combat cancer progression.
This role offers unparalleled access to cutting-edge core facilities and advanced technologies, ensuring your research is at the forefront of innovation. You will take advantage of unique data sets and sample cohorts from initiated clinical trials in colorectal and breast cancer.
You will join a dynamic international scientific community that thrives on interdisciplinary collaboration, working alongside experts in precision medicine, artificial intelligence, cancer genetics, genome stability, cell signaling, protein stability, genomic analysis, mechanobiology, and immunology.
You will collaborate closely with basic and data scientists, experimental pathologists, and clinical oncologists, contributing to and shaping innovative mechanism-inspired clinical trials. You will make a tangible impact on cancer treatment and patient outcomes through your discoveries.
You will benefit from a competitive start-up package and compensation, along with administrative and grants management support. You will also have access to networking opportunities, training sessions, mentoring, and funding possibilities to fuel your research endeavors.
To be considered for this role, you must have:
* A strong publication record;
* Potential to establish an independent, externally-funded research program;
Preferred qualifications include experience working in a matrix environment within academic medicine and proven success in collaborating with multi-disciplinary teams.